We compare the above mentioned approaches to a cross-entropy trained model referred to as baseline. For the datasets we rely on CIFAR-10/100 [1]} and ImageNet [2]} which have been used extensively in recent calibration studies. The neural network architectures chosen are Resnet-50 [3]}, VGG-16 [4]} and DenseNet-121 [5]} for CIFARs and Resnet-50 for ImageNet.
